Date Received: 17-07-2017
Date Accepted: 16-11-2017
Date Published: 06-08-2025
##submissions.doi##: https://doi.org/10.31817/tckhnnvn.2017.15.10.
Views
Downloads
How to Cite:
Application of Machine Vision in Pesticide Spraying Machine
Keywords
Machine vision, mechanics, automation, plant protection
Abstract
The application of machine vision in automation of the pesticide spray machine will contribute to promotin of automatic applications in plant protection mechanization, improve productivity and efficiency of pesticide, minimize negative impacts of chemicals in pesticide, and protect environment. The article reported theoretical and experimental results of machine vision to determine the distance and location through image processing and image zone and to record image processing program received from one and more cameras. These parameters were used as a basis for the calculation, designing and manufacturing pesticide spraying machine vision applying automatic machine vision and controlling operating conditions of spraying systems.
References
Phạm Thế Bảo (2001). Thị giác máy tính, Đại học Khoa học tự nhiên TP. Hồ Chí Minh.
Lê Vũ Quân, Trịnh Gia Cường, Châu Hồng Bình (2010). Ứng dụng kỹ thuật thị giác máy tính trong sản xuất nông nghiệp. Tạp chí Khoa học và Phát triển, 8(2): 327-234.
Honghui Rao, Changying Ji (2008). Research on spray precisely toward crop-rows based on machine vision. IFIP International Federation for Information Processing, Volume 259; Computer and Computing Technologies in Agriculture, Vol. 2; Daoliang Li; (Boston: Springer), pp. 1435-1439.
Chen Yuehua,Yang Fang (2008). Research Advances of Insect Pest Identification Technology Using Machine Vision. Journal of Agricultural Mechanization Research, 1: 209-211.
Hu Tianxiang (2009). Design and Integration of Software System for Intelligent Toward-target Sprayer. Doctor's dissertation. Nanjing Forestry University.
Zhao Conghui, Zhang Shujuan (2009). Research Progress of the Computer Vision and Spectrum Technology on Detecting Crop Diseases. Journal of Agricultural Mechanization Research, 11: 230-234.